How do I install the Mock Trading Agent skill?

Run npx skillmds@latest add dvcrn/mock-trading-agent in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mock Trading Agent safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mock Trading Agent?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mock Trading Agent free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mock Trading Agent?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mock Trading Agent by dvcrn — Agent Skill

Name: Mock Trading Agent
Rating: 4.2 (5 reviews)
Author: dvcrn

Mock Trading Agent

Simulate cryptocurrency trading using algorithmic strategies (SMA Crossover, Mean Reversion) without risking real capital. Use when the user wants to start a paper trading simulation, test a trading bot, or monitor a mock portfolio.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Mock Trading Agent Skill

This skill provides a fully functional mock (paper) trading environment. It allows OpenClaw to simulate algorithmic trading by fetching live market data, evaluating algorithmic strategies, and updating a virtual portfolio.

Components

assets/portfolio.json: A template virtual bank account containing $10,000 USD.
scripts/mock_bot.py: A python script that executes a single "tick" of the trading bot. It fetches the current price, evaluates the strategy based on price history, executes mock trades, and updates the portfolio file.

Setup & Usage

When a user asks to start a mock trading session:

Initialize the Portfolio: Copy the template portfolio to the user's working directory.
```
cp {baseDir}/assets/portfolio.json ./my_portfolio.json
```
Run a Trading Tick: Run the bot script. This executes a single cycle (fetch data -> evaluate -> trade -> save).
```
uv run {baseDir}/scripts/mock_bot.py --portfolio ./my_portfolio.json --asset bitcoin
```
Automation (Heartbeat/Cron): To run the bot continuously, add the command from Step 2 into the user's HEARTBEAT.md file or schedule it via cron to run every 5-10 minutes.
Reporting: Read ./my_portfolio.json to report the user's current PnL, cash balance, and trade history.

Modifying Strategies

The script currently defaults to an SMA Crossover strategy. You can edit the python script locally to swap it with Mean Reversion, Momentum Breakout, or RSI strategies if the user requests different logic.

Frequently asked questions